Correlation Imputation in Single cell RNA-seq using Auxiliary Information and Ensemble Learning. - Luqin Gan; Giuseppe Vinci; Genevera I. Allen (BCB, 2020)

Inference for Interpretable Machine Learning: Fast, Model-Agnostic Confidence Intervals for Feature Importance. - Luqin Gan; Lili Zheng; Genevera I. Allen (CoRR, 2022)

Correlation Imputation for Single-Cell RNA-seq. - Luqin Gan; Giuseppe Vinci; Genevera I. Allen (J. Comput. Biol., 2022)

Fast and interpretable consensus clustering via minipatch learning. - Luqin Gan; Genevera I. Allen (PLoS Comput. Biol., 2022)

Interpretable Machine Learning for Discovery: Statistical Challenges & Opportunities. - Genevera I. Allen; Luqin Gan; Lili Zheng (CoRR, 2023)

Are machine learning interpretations reliable? A stability study on global interpretations. - Luqin Gan; Tarek M. Zikry; Genevera I. Allen (CoRR, 2025)